76 to 100 of 340 Grafana Jobs in England

Docker, Kubernetes, Terraform). Skilled in cloud platforms (AWS, GCP, or Azure). Bonus points for: Familiarity with ML frameworks (PyTorch, Jupyter). Knowledge of cloud monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner, etc.). Exposure to CI/CD pipelines (e.g., CircleCI). What's on offer: The chance to shape the More ❯

or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent). Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints. A mindset More ❯

or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent). Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints. A mindset More ❯

or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent). Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints. A mindset More ❯

or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent). Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints. A mindset More ❯

or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent). Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints. A mindset More ❯

plus. Capable of writing clean, maintainable and well-tested code. Comfortable working in on-prem and cloud-native environments with an interest in observability, using tools like Prometheus and Grafana to keep services healthy and maintainable. Familiarity with AWS services and how to integrate them into modern applications. A keen focus on quality and security, combining testing and scanning into More ❯

plus. Capable of writing clean, maintainable and well-tested code. Comfortable working in on-prem and cloud-native environments with an interest in observability, using tools like Prometheus and Grafana to keep services healthy and maintainable. Familiarity with AWS services and how to integrate them into modern applications. A keen focus on quality and security, combining testing and scanning into More ❯

plus. Capable of writing clean, maintainable and well-tested code. Comfortable working in on-prem and cloud-native environments with an interest in observability, using tools like Prometheus and Grafana to keep services healthy and maintainable. Familiarity with AWS services and how to integrate them into modern applications. A keen focus on quality and security, combining testing and scanning into More ❯

per day End date - 31st March 2026 Active SC clearance Onsite travel to Leeds/Newcastle/Manchester/Blackpool/Sheffield AWS Terraform Gitlab CI/CD Prometheus Grafana Splunk Gov experience More ❯

communication skills Proven team engagement skills Proven coaching skills Quality Driven Adaptable/ability to context switch Stakeholder Management Optional Skills: Kubernetes Micro-services GraalVM Helm Mockito AWS Kibana Grafana Open API gRPC/Protobuf WCAG OAuth2/OpenID Sustainable Software Engineering Cucumber/Gherkin Selenium Agile Scrum Agile Practices Applicant must have SC Clearance or at least be eligible More ❯

processes to ensure systems are robust, secure and observable. You'll be working with a modern tech stack using Java, Spring Boot, CI/CD, Kubernetes, AWS, EKS and Grafana/Splunk. About you: You have advanced backend software engineering experience with Java, Spring Boot, REST, Postgres, Redis You have experience of running production workloads on Kubernetes (Amazon EKS preferred More ❯

processes to ensure systems are robust, secure and observable. You'll be working with a modern tech stack using Java, Spring Boot, CI/CD, Kubernetes, AWS, EKS and Grafana/Splunk. About you: You have advanced backend software engineering experience with Java, Spring Boot, REST, Postgres, Redis You have experience of running production workloads on Kubernetes (Amazon EKS preferred More ❯

Salary: £100k–£180k (flexible for strong profiles) + equity Working Model: On-site, London Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/Grafana If you want to shape the backbone of one of Europe’s most ambitious AI startups, we’d love to hear from you. More ❯

Salary: £100k–£180k (flexible for strong profiles) + equity Working Model: On-site, London Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/Grafana If you want to shape the backbone of one of Europe’s most ambitious AI startups, we’d love to hear from you. More ❯

Salary: £100k–£180k (flexible for strong profiles) + equity Working Model: On-site, London Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/Grafana If you want to shape the backbone of one of Europe’s most ambitious AI startups, we’d love to hear from you. More ❯

Salary: £100k–£180k (flexible for strong profiles) + equity Working Model: On-site, London Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/Grafana If you want to shape the backbone of one of Europe’s most ambitious AI startups, we’d love to hear from you. More ❯

Salary: £100k–£180k (flexible for strong profiles) + equity Working Model: On-site, London Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/Grafana If you want to shape the backbone of one of Europe’s most ambitious AI startups, we’d love to hear from you. More ❯

Good client facing skills and problem solving aptitude DevOps knowledge of SQL Oracle DB Postgres ActiveMQ Zabbix Ambari Hadoop Jira Confluence BitBucket ActiviBPM Oracle SOA Azure SQLServer IIS AWS Grafana Oracle BPM Jenkins Puppet CI and other cloud technologies. Your Skills: Excellent attention to detail and ability to follow defined processes. Strong commitment and ability to quickly learn new technical More ❯

Good client facing skills and problem solving aptitude DevOps knowledge of SQL Oracle DB Postgres ActiveMQ Zabbix Ambari Hadoop Jira Confluence BitBucket ActiviBPM Oracle SOA Azure SQLServer IIS AWS Grafana Oracle BPM Jenkins Puppet CI and other cloud technologies. Your Skills: Excellent attention to detail and ability to follow defined processes. Strong commitment and ability to quickly learn new technical More ❯

processes to ensure systems are robust, secure and observable. You'll be working with a modern tech stack using Java, Spring Boot, CI/CD, Kubernetes, AWS, EKS and Grafana/Splunk. About you: You have advanced backend software engineering experience with Java, Spring Boot, REST, Postgres, Redis You have experience of running production workloads on Kubernetes (Amazon EKS preferred More ❯

access control (802.1x, RADIUS), or zero-trust security concepts. Exposure to infrastructure-as-code (Terraform, Ansible) and version control systems (Git). Experience with monitoring and observability tools (LogicMonitor, Grafana, Prometheus). Knowledge of hybrid cloud networking, including AWS Direct Connect or GCP Interconnect. Relevant certifications such as CCNP, AWS Advanced Networking Specialty, or Google Cloud Network Engineer. More ❯

of technical experience in Cloud DevOps, SaaS, or observability, with 5+ years in leadership roles. Strong hands-on experience with AWS, GCP, Azure, K8S, Terraform and observability tools: Prometheus, Grafana, OpenTelemetry, ELK, Splunk, Datadog, and similar. Proficiency with metrics, logs, traces and APM. Leadership & Global Operations Proven success leading multi-regional or global technical teams with direct management of managers. More ❯

Knowledge of container orchestration (e.g., Kubernetes). • Experience with mobile application development (Android/iOS). • Knowledge of C# or other backend languages. • Familiarity with monitoring and observability tools (Grafana, Prometheus, etc.). • Experience with AI-assisted development tools (e.g., Copilot, ChatGPT integrations). Attributes & Behaviours • Clear, professional communication with customers and colleagues. • Strong problem-solving and troubleshooting ability. • Commitment More ❯

plus. Capable of writing clean, maintainable and well-tested code. Comfortable working in on-prem and cloud-native environments with an interest in observability, using tools like Prometheus and Grafana to keep services healthy and maintainable. Familiarity with AWS services and how to integrate them into modern applications. A keen focus on quality and security, combining testing and scanning into More ❯